ML Engineer - Austin, TX

We are astealth-mode startupbuilding next-generation infrastructure for the AI industry. Our mission is to make advanced language models portable, efficient, and customizable for real-world deployments. We’re building tools that allow vendors to fine-tune models easily and deploy them securely on diverse hardware. Role We are seeking aAIML Engineer (Python)to help design and implement ourAI Pipelines. This is not an academic research role — you will be productizing and automating existing fine-tuning techniques (LoRA/QLoRA) so vendors can train and manage their own adapters with minimal effort. You’ll work closely with backend engineers (Node.js) who orchestrate jobs and dashboards, while you focus on thetraining pipelines and adapter export logic .Responsibilities Implement and maintain LoRA/QLoRA fine-tuning pipelinesusing PyTorch + Hugging Face Transformers + PEFT.Develop logic forincremental training and adapter stacking, producing clean, versioned “delta packs.”Automatedata preprocessing(tokenization, formatting, filtering) for user-supplied datasets. Build training scripts/workflows that integrate with orchestration backends (Node.js, REST/gRPC, or job queues).Implement monitoring hooks (loss curves, checkpoints, eval metrics) to feed into dashboards. Collaborate with DevOps to ensure reproducible, portable training environments. Write tests to guarantee reproducibility and correctness of adapter outputs. Willingness to occasionally be present in the office for discussions and team collaboration.